Applications Development Sr Programmer Analyst - C12 - PUNE

The Applications Development Senior Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to Generative AI Shared Services Platform applications/systems and programming activities.

Responsibilities:

• Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas
• Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users
• Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement
• Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality
• Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems
• Ensure essential procedures are followed and help define operating standards and processes
• Serve as advisor or coach to new or lower level analysts
• Has the ability to operate with a limited level of direct supervision.
• Can exercise independence of judgement and autonomy.
• Acts as SME to senior stakeholders and /or other team members.
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Mandatory Qualifications:

• 5-8 years of relevant experience
• Working proficiency in Python
• Writing clean, scalable, and modular Python code following best practices
• Experience with RESTful API development (preferably using FastAPI, or Flask)
• Experience with object-oriented programming (OOP), exception handling, and logging.
• Proficiency in asynchronous programming (async/await, threading, multiprocessing) for handling concurrent requests efficiently
• Building and optimizing microservices based architectures for shared services
• Database integration (PostgreSQL/MongoDB, Oracle)
• Writing unit, integration, and end-to-end test cases using PyTest or similar frameworks.
• Basic understanding of CI/CD pipelines and their role in automated deployments.
• Setting up GitHub CI/CD pipelines (or similar)for automated testing and deployments.
• Writing and maintaining Dockerfiles for containerized applications.
• Working knowledge of Kubernetes/OpenShift ECS Cluster
• Strong understanding of API authentication and authorization (JWT, OAuth, API Gateway).
• Proficient in optimizing database queries, indexing strategies, and schema design
• Experience in systems analysis and programming of software applications
• Experience in managing and implementing successful projects
• Working knowledge of consulting/project management techniques/methods
• Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements

Desired Qualifications:

• Implementing SonarQube for code quality, coverage, and static analysis.
• Familiarity with data science libraries (scikit-learn, TensorFlow)
• Awareness of Large Language Model (LLM) integration and RAG architectures for shared AI services
• Familiarity with vector databases (e.g., PGVector, FAISS) for retrieval-augmented generation (RAG)
• Conceptual knowledge of embeddings, tokenization, and retrieval mechanisms in AI-driven applications
• Implementing logging and observability for services using ELK Stack Grafana or similar software

Education:

• Bachelor’s degree/University degree or equivalent experience

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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